Agent skill

Problem Structuring

by itseffi in itseffi/agentic-os

Break down complex problems into actionable recommendations using deductive and inductive analysis.

MITAuto-check passed

Install Problem Structuring

skills CLI
$ npx skills add itseffi/agentic-os --skill problem-structuring -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install itseffi/agentic-os problem-structuring --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/itseffi/agentic-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/problem-structuring .claude/skills/problem-structuring && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
problem-structuring
GitHub stars
115
Used in
1 other repo
Token cost
~370 tokens
SKILL.md length
168 words
Files
2
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Break down complex problems into actionable recommendations using deductive and inductive analysis.

  • Works in 5 steps: Simplify the Problem → Deductive Analysis (Top-Down) → Inductive Analysis (Bottom-Up) → …
  • SKILL.md covers When to Use, The Process, Output Format and When Not to Use
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Problem Structuring is an agent skill from itseffi/agentic-os. Break down complex problems into actionable recommendations using deductive and inductive analysis.

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: Agentic personal OS to automate high-leverage workflows with Codex, Claude Code, Pi, OpenClaw and other coding agents/ runtime platforms. The licence is MIT.

Example prompts

  • “/problem-structuring”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Simplify the Problem
  2. Deductive Analysis (Top-Down)
  3. Inductive Analysis (Bottom-Up)
  4. Synthesize
  5. Develop Recommendation

What it can do on your machine

Read from SKILL.md and the folder at commit e54d0ac. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Problem Structuring loads about 370 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 168 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~370

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from itseffi/agentic-os at commit e54d0ac, republished under its MIT licence (© itseffi). 168 words, ~370 tokens.

Download SKILL.mdSave it as .claude/skills/problem-structuring/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
problem-structuring
description
Break down complex problems into actionable recommendations using deductive and inductive analysis.

Problem Structuring

Break down complex problems into actionable recommendations.

When to Use

When facing a complex, ambiguous problem that needs structured analysis.

The Process

1. Simplify the Problem
  • Identify core components
  • List key stakeholders
  • Summarize in 2-3 sentences
2. Deductive Analysis (Top-Down)

Start broad, work to specifics:

  • What's the general situation?
  • Create logical tree of options
  • Map cause-and-effect relationships
  • Explore branches and outcomes
3. Inductive Analysis (Bottom-Up)

Start with specifics, find patterns:

  • Examine data points and examples
  • Look for patterns and trends
  • What do specifics suggest about the whole?
4. Synthesize

Combine both approaches:

  • Where do they agree?
  • Where do they conflict?
  • What insights emerge?
5. Develop Recommendation

Based on analysis:

  • Clear, actionable recommendation
  • Rationale tied to analysis
  • Trade-offs acknowledged

Output Format

  • Simplified problem: Concise summary
  • Deductive analysis: Logical tree with options
  • Inductive analysis: Patterns from data
  • Synthesis: Combined insights
  • Recommendation: Clear action with rationale

When Not to Use

Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.

© itseffi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/problem-structuring of itseffi/agentic-os.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit e54d0ac

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in itseffi/agentic-os, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Problem Structuring next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Problem Structuring compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Problem Structuring this skillitseffi/agentic-os1151 repos~370Automated safety check: PassMIT
ActionsJetBrains/intellij-community21k—~341Automated safety check: PassCustom licence
Structured Datathedaviddias/Front-End-Checklist74k—~420Automated safety check: PassMIT
Laravel Actionscoollabsio/coolify63k—~2.4kAutomated safety check: PassApache-2.0
Bio Structural Biology Modern Structure PredictionFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~2.5kAutomated safety check: PassNone
Is This A Problemanthropics/claude-for-legal9.6k2 repos~2.3kAutomated safety check: PassApache-2.0

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Questions about Problem Structuring

What does Problem Structuring do?

Break down complex problems into actionable recommendations using deductive and inductive analysis. Problem Structuring is an agent skill from itseffi/agentic-os. Break down complex problems into actionable recommendations using deductive and inductive analysis.

How do I install Problem Structuring in Claude Code?

Run `npx skills add itseffi/agentic-os --skill problem-structuring -a claude-code`. Or copy the skill folder (.agents/skills/problem-structuring in itseffi/agentic-os) into .claude/skills/problem-structuring in your project. Claude Code loads it when a task matches its description.

How do I install Problem Structuring in Codex?

Run `npx skills add itseffi/agentic-os --skill problem-structuring -a codex`. Or copy the skill folder (.agents/skills/problem-structuring in itseffi/agentic-os) into .agents/skills/problem-structuring in your project. Codex loads it when a task matches its description.

Can I use Problem Structuring in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add itseffi/agentic-os --skill problem-structuring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/problem-structuring, .gemini/skills/problem-structuring, .github/skills/problem-structuring and .opencode/skills/problem-structuring in your project.

What does Problem Structuring need to run?

SKILL.md names no scripts, command-line tools or credentials: Problem Structuring is instructions for the agent only.

Does Problem Structuring access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Problem Structuring safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Problem Structuring use?

Problem Structuring is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Problem Structuring use?

About 370 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Problem Structuring?

Skills that share tags, products or a category with Problem Structuring: Actions (JetBrains/intellij-community, 21k stars), Structured Data (thedaviddias/Front-End-Checklist, 74k stars), Laravel Actions (coollabsio/coolify, 63k stars) and Bio Structural Biology Modern Structure Prediction (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Problem Structuring?

itseffi (a GitHub user) maintains it in itseffi/agentic-os, which has 115 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 7, 2026.

Source: itseffi/agentic-os on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.